In: Statistics and Probability
A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The commercials were for clothes, food, and toys.
Clothes | Food | Toys |
43 | 30 | 52 |
24 | 38 | 58 |
42 | 46 | 43 |
35 | 54 | 49 |
28 | 47 | 63 |
31 | 42 | 53 |
17 | 34 | 48 |
31 | 43 | 58 |
20 | 57 | 47 |
47 | 51 | |
44 | 51 | |
54 |
Complete the ANOVA table. Use 0.05 significance level. (Round the SS and MS values to 1 decimal place and F value to 2 decimal places.)
Find the values of mean and standard deviation. (Round the mean and standard deviation values to 3 decimal places.)
Ans:
Group 1 | Group 2 | Group 3 | Total | |
Sum | 271 | 536 | 573 | 1380 |
Count | 9 | 12 | 11 | 32 |
Mean, Sum/n | 30.111 | 44.667 | 52.091 | |
Sum of square, Ʃ(xᵢ-x̅)² | 648.889 | 722.667 | 326.909 | |
Standard deviation | 9.006 | 8.105 | 5.718 |
Number of treatment, k = | 3 |
Total sample Size, N = | 32 |
df(between) = k-1 = | 2 |
df(within) = N-k = | 29 |
df(total) = N-1 = | 31 |
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 - (Grand Sum)²/ N = | 2437.0 |
SS(within) = SS1 + SS2 + SS3 = | 1698.5 |
SS(total) = SS(between) + SS(within) = | 4135.5 |
MS(between) = SS(between)/df(between) = | 1218.5 |
MS(within) = SS(within)/df(within) = | 58.6 |
F = MS(between)/MS(within) = | 20.81 |
p-value = F.DIST.RT(20.8053, 2, 29) = | 0.0000 |
ANOVA | |||||
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 2437.0 | 2 | 1218.5 | 20.81 | 0.0000 |
Within Groups | 1698.5 | 29 | 58.6 | ||
Total | 4135.5 | 31 |
Null and Alternative Hypothesis: | |
Ho: µ1 = µ2 = µ3 | |
H1: At least one mean is different. | |
Test statistic: | |
F = | 20.81 |
Critical value: | |
Critical value Fc = F.INV.RT(0.05, 2, 29) = | 3.328 |
p-value: | |
p-value = F.DIST.RT(20.8053, 2, 29) = | 0.000 |
Decision: | |
P-value < α, Reject the null hypothesis. |